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» An Anytime Algorithm for Decision Making under Uncertainty
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EUSFLAT
2003
115views Fuzzy Logic» more  EUSFLAT 2003»
13 years 9 months ago
A hierarchical fuzzy rule-based learning system based on an information theoretic
This paper proposes a new novel method for the online construction of a Hierarchical Fuzzy Rule Based System (FRBS) to accurately model a function while retaining a level of human...
Antony Waldock, Brian Carse, Chris Melhuish
ICRA
2008
IEEE
167views Robotics» more  ICRA 2008»
14 years 2 months ago
An approximate algorithm for solving oracular POMDPs
Abstract— We propose a new approximate algorithm, LAJIV (Lookahead J-MDP Information Value), to solve Oracular Partially Observable Markov Decision Problems (OPOMDPs), a special ...
Nicholas Armstrong-Crews, Manuela M. Veloso
AAAI
2008
13 years 10 months ago
A Variance Analysis for POMDP Policy Evaluation
Partially Observable Markov Decision Processes have been studied widely as a model for decision making under uncertainty, and a number of methods have been developed to find the s...
Mahdi Milani Fard, Joelle Pineau, Peng Sun
PKDD
2009
Springer
129views Data Mining» more  PKDD 2009»
14 years 2 months ago
Considering Unseen States as Impossible in Factored Reinforcement Learning
Abstract. The Factored Markov Decision Process (FMDP) framework is a standard representation for sequential decision problems under uncertainty where the state is represented as a ...
Olga Kozlova, Olivier Sigaud, Pierre-Henri Wuillem...
IEAAIE
2000
Springer
13 years 11 months ago
Fuzzy Modeling Approach for Integrated Assessments Using Cultural Theory
It has already been noted that the accurate prediction of societal responses requires the use of a formal model based on some social or cultural taxonomy. One such taxonomic candi...
Adnan Yazici, Frederick E. Petry, Curt Pendergraft